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Jared Dunnmon
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2020 – today
- 2023
- [j7]Siyi Tang
, Amara Tariq
, Jared A. Dunnmon
, Umesh Sharma, Praneetha Elugunti
, Daniel L. Rubin
, Bhavik N. Patel
, Imon Banerjee
:
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. IEEE J. Biomed. Health Informatics 27(4): 2071-2082 (2023) - [c13]Siyi Tang
, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin:
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL 2023: 50-71 - 2022
- [c12]Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz:
ViLMedic: a framework for research at the intersection of vision and language in medical AI. ACL (demo) 2022: 23-34 - [c11]Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré:
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR 2022 - [c10]Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer:
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR 2022 - [c9]Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon:
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. NeurIPS 2022 - [i19]Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré:
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR abs/2203.14960 (2022) - [i18]Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee:
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR abs/2204.06766 (2022) - [i17]Fernando Paolo, Tsu-ting Tim Lin
, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon:
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. CoRR abs/2206.00897 (2022) - [i16]Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Christopher Lee-Messer, Daniel L. Rubin:
Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models. CoRR abs/2211.11176 (2022) - 2021
- [j6]Rebecca Sawyer Lee, Jared A. Dunnmon, Ann He, Siyi Tang
, Christopher Ré, Daniel L. Rubin:
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. J. Biomed. Informatics 113: 103656 (2021) - [c8]Khaled Saab
, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik
, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher Ré:
Observational Supervision for Medical Image Classification Using Gaze Data. MICCAI (2) 2021: 603-614 - [i15]Siyi Tang
, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer:
Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. CoRR abs/2104.08336 (2021) - [i14]Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang, Jared Dunnmon, Arjun Soin, Guido A. Davidzon, Akshay Chaudhari, Matthew P. Lungren:
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations. CoRR abs/2108.02016 (2021) - 2020
- [j5]Shih-Cheng Huang
, Tanay Kothari, Imon Banerjee
, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel
, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren:
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020) - [j4]Shih-Cheng Huang
, Tanay Kothari, Imon Banerjee
, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel
, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren:
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020) - [j3]Khaled Saab
, Jared Dunnmon, Christopher Ré, Daniel L. Rubin
, Christopher Lee-Messer:
Weak supervision as an efficient approach for automated seizure detection in electroencephalography. npj Digit. Medicine 3 (2020) - [j2]Jared A. Dunnmon
, Alexander J. Ratner, Khaled Saab
, Nishith Khandwala, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin
, Christopher Ré:
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. Patterns 1(2): 100019 (2020) - [c7]Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré:
Ivy: Instrumental Variable Synthesis for Causal Inference. AISTATS 2020: 398-410 - [c6]Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro
, Christopher Ré:
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL 2020: 151-159 - [c5]Nimit Sharad Sohoni, Jared Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré:
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. NeurIPS 2020 - [i13]Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel:
Assessing Robustness to Noise: Low-Cost Head CT Triage. CoRR abs/2003.07977 (2020) - [i12]Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré:
Ivy: Instrumental Variable Synthesis for Causal Inference. CoRR abs/2004.05316 (2020) - [i11]Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Y. Zou, Daniel L. Rubin:
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. CoRR abs/2010.08006 (2020) - [i10]Nimit Sharad Sohoni, Jared A. Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré:
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. CoRR abs/2011.12945 (2020) - [i9]Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer:
Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. CoRR abs/2011.14101 (2020)
2010 – 2019
- 2019
- [j1]Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel
:
Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 1(12): 578-583 (2019) - [c4]Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. AAAI 2019: 4763-4771 - [c3]Khaled Saab
, Jared Dunnmon, Roger E. Goldman, Alexander Ratner, Hersh Sagreiya, Christopher Ré, Daniel L. Rubin:
Doubly Weak Supervision of Deep Learning Models for Head CT. MICCAI (3) 2019: 811-819 - [i8]Swetava Ganguli, Jared Dunnmon, Darren Hau:
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking. CoRR abs/1902.05433 (2019) - [i7]Jared Dunnmon, Swetava Ganguli, Darren Hau, Brooke E. Husic:
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities. CoRR abs/1902.07087 (2019) - [i6]Jared Dunnmon, Alexander Ratner, Nishith Khandwala, Khaled Saab, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré:
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. CoRR abs/1903.11101 (2019) - [i5]Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré:
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR abs/1909.12475 (2019) - 2018
- [c2]Alexander Ratner, Braden Hancock, Jared Dunnmon, Roger E. Goldman, Christopher Ré:
Snorkel MeTaL: Weak Supervision for Multi-Task Learning. DEEM@SIGMOD 2018: 3:1-3:4 - [i4]Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. CoRR abs/1810.02840 (2018) - 2017
- [c1]Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré:
Learning to Compose Domain-Specific Transformations for Data Augmentation. NIPS 2017: 3236-3246 - [i3]Swetava Ganguli, Jared Dunnmon:
Machine Learning for Better Models for Predicting Bond Prices. CoRR abs/1705.01142 (2017) - [i2]Darvin Yi, Rebecca Lynn Sawyer, David Cohn III, Jared Dunnmon, Carson K. Lam, Xuerong Xiao, Daniel L. Rubin:
Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors. CoRR abs/1705.06362 (2017) - [i1]Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré:
Learning to Compose Domain-Specific Transformations for Data Augmentation. CoRR abs/1709.01643 (2017)
Coauthor Index
aka: Khaled Kamal Saab
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